Elasticsearch is an open source distributed search and analytics engine based on Apache Lucene. After adding your data to Elasticsearch, you can perform full-text searches on the data with all of the features you may expect: search by field, search multiple indices, boost fields, rank results by score, sort results by field, and aggregate results. You can also use Kibana to build visualizations for data in Elasticsearch.
We are excited to announce the general availability of real-time anomaly detection for streaming applications in this release. We would like to thank the community for their feedback on the preview release of the feature. The anomaly detection feature is built on RCF (Random Cut Forest), an unsupervised algorithm, that detects anomalies on live data and identifies issues as they evolve in real time. RCF is a proven algorithm built on years...
Distributed systems scale by coordinating and distributing their workloads horizontally, across several machines. In Elasticsearch, this is done by partitioning indexes into shards and distributing them across data nodes in the cluster.
Vamshi Vijay Nakkirtha, Lai Jiang, Chris Swierczewski, Jack Mazanec
Recently, we launched k-NN similarity search feature on Open Distro for Elasticsearch. We are excited for the community to try out this feature and welcome you to come join in and contribute in building additional capabilities into Open Distro for Elasticsearch.